Trafilatura MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| fetch_and_extractB | Fetches a URL and extracts the main content, metadata, and comments. Returns a JSON object with the extracted data. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as fetching and extracting content from a URL, making it distinct by default.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'fetch_and_extract' follows a clear verb_noun pattern, and there are no other tools to compare it against for inconsistency.
A single tool is generally too few for a server's purpose, as it limits functionality and may indicate an incomplete surface. For a content extraction server, one tool feels thin and could benefit from additional operations like batch processing or configuration options.
The tool surface is severely incomplete for a content extraction domain. While the single tool handles basic fetching and extraction, there are obvious gaps such as no ability to extract from local files, handle different extraction modes, or manage extraction settings, which could lead to agent failures in more complex scenarios.